Using 'Big Data' for analytics and decision support

People and the computers they use are generating large amounts of varied data. The phenomenon of capturing and trying to use all of the semi-structured and unstructured data has been called by vendors and bloggers 'Big Data'. Organisations can capture and store data of many types from almo...

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Bibliographic Details
Published in:Journal of decision systems 2014-04, Vol.23 (2), p.222-228
Main Author: Power, Daniel J.
Format: Article
Language:English
Subjects:
Analytics
Applied sciences
Big Data
Chief executive officers
Computer science
control theory
systems
Computer systems and distributed systems. User interface
Data processing. List processing. Character string processing
Datasets
Decision making
decision support
Decision theory. Utility theory
Exact sciences and technology
Information systems
Information systems. Data bases
Information technology
machine data
Memory organisation. Data processing
Operational research and scientific management
Operational research. Management science
Software
Studies
Velocity
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Summary:People and the computers they use are generating large amounts of varied data. The phenomenon of capturing and trying to use all of the semi-structured and unstructured data has been called by vendors and bloggers 'Big Data'. Organisations can capture and store data of many types from almost any source, but capturing and storing data only adds value when it has a useful purpose. Big Data must be used to provide input to analytics and decision support capabilities if it is to create real value for organisations. Some bloggers, industry leaders and academics have become disillusioned by the term Big Data. It is a marketing term and not a technical term. More descriptive terms like unstructured data, process data and machine data are more useful for information technology (IT) professionals. Researchers need to study and document use cases that explain how specific, novel data, so-called Big Data, can be used to support decision-making.
ISSN:1246-0125
2116-7052
DOI:10.1080/12460125.2014.888848